NumericalComputingwithMATLAB

研 究了双目视觉测量系统的结构参数优化问题.对双目视觉测量的有效视场约束条件进行了数学 描述，建立了双目视觉坐标测量系统的数学模型.在考虑像点提取误差的条件下，利用误差理论建立了测量 误差模型，并基于待测量的视场范围要求，定义了测量系统结构参数的优化指标。最后，通过枚举法进行了 优化求解.(Studied binocular vision measurement system to optimize the structural parameters of the problem. For the effective measurement of binocular vision bound by the terms of field of view of mathematical description of the establishment of binocular vision coordinate measuring system mathematical model. In considering the error as the point of extraction conditions the use of error theory the establishment of measurement error model and measurement based on the field of view to be the scope of the requirements of the definition of the measurement system parameters to optimize the structure of indicators. Finally, the optimized enumeration method for solving.)

说明：  基于灰度直方图的分割算法，自己写的，即求灰度直方图的分割算法，珍藏版，可实现。 ( The segmentation algorithm based on gray-level histogram ，Write your own, namely for the graylevel histogram editions of segmentation algorithm, can achieve. )

频率域建模，根据类型分为面向模拟滤波器的s域内建模和面向数字滤波器的z域内建模。 (Frequency domain modeling, according to the type of analog filters into the s-oriented domain modeling and digital filter z-oriented domain modeling.)

matlab 读取操作excel表格，可以打开excel表格，读取其中的数据(matlab read operation excel spreadsheet, you can open the excel spreadsheet, the data read)

决策树的matlab实现,包含训练和测试(Decision Tree matlab implementation)

Introduction to Random Signals and Applied Kalman Filtering

此程序为基于abaqus开发的新单元，用于模拟地震等动力过程中水与结构相互作用，用于在结构表面施加附加质量(This program based on abaqus and development of new unit, used to simulate the interaction between waterand structure during the process of earthquake, which is used to calculate the mass property on the structure surface)

哈夫变换提取参数 matlab实现 附带测试图像(Hough transform extracted parameters to achieve incidental test images matlab)

Reconstruction of magnetic resonance images from data not falling on a Cartesian grid is a Fourier inversion problem typically solved using convolution interpolation, also known as gridding. Gridding is simple and robust and has parameters, the grid oversampling ratio and the kernel width, that can be used to trade accuracy for computational memory and time reductions. We have found that significant reductions in computation memory and time can be obtained while maintaining high accuracy by using a minimal oversampling ratio, from 1.125 to 1.375, instead of the typically employed grid oversampling ratio of two. When using a minimal oversampling ratio, appropriate design of the convolution kernel is important for maintaining high accuracy

matlab program for comm.